Senior Ml-engineer, Finance

Fundraise Up

Remote, Armenia
Not specified; not specified; benefits: 31 days of...
Remote
5+ years ml production experience
Python and fastapi expertise
Large-scale web scraping skills
Fundraise Up is seeking a Senior ML Engineer with over 5 years of experience to lead a client intelligence initiative aimed at enhancing their fundraising platform. The role requires expertise in machine learning, web scraping, and data pipeline construction, with a strong focus on collaboration in a remote environment. The company offers a supportive culture and a range of benefits, including 31 days off and assistance for home office setup

Job Summary

  • The role involves building a comprehensive market intelligence database and deploying a scoring model to feed directly into the sales pipeline.
  • Fundraise Up serves enterprise nonprofit clients globally, including UNICEF and the American Heart Association, with a mission to make donating fast and convenient.
  • Employees receive 31 days off, a 100% paid telemedicine plan, and home office setup assistance for furniture and equipment.

Matching Summary

Match Score: 85

Fundraise Up is seeking a Senior ML Engineer with over 5 years of experience to lead a client intelligence initiative aimed at enhancing their fundraising platform. The role requires expertise in machine learning, web scraping, and data pipeline construction, with a strong focus on collaboration in a remote environment. The company offers a supportive culture and a range of benefits, including 31 days off and assistance for home office setup.

Salary

Not specified; Not specified; Benefits: 31 days off, 100% paid telemedicine, home office setup assistance, gym/pool access

Skills & Requirements

Must-have

  • 5+ years ML production experience
  • Python and FastAPI expertise
  • Large-scale web scraping skills
  • ClickHouse and MongoDB proficiency
  • Gradient boosting and NLP knowledge
  • MLOps with Docker and CI/CD

Nice-to-have

  • Curiosity and hypothesis-driven mindset
  • Ability to communicate complex concepts
  • Detail-oriented ownership sense
  • Comfort in fast-paced environments

Key Requirements

  • 5+ years of ML/DS experience
  • Strong English (C1 level)
  • Advanced SQL and data engineering skills

Work Rights

Not specified

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